Exam AWS Certified Machine Learning - Specialty topic 1 question 276 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty

Question #: 243
Topic #: 1

[All AWS Certified Machine Learning - Specialty Questions]

A wildlife research company has a set of images of lions and cheetahs. The company created a dataset of the images. The company labeled each image with a binary label that indicates whether an image contains a lion or cheetah. The company wants to train a model to identify whether new images contain a lion or cheetah.

Which Amazon SageMaker algorithm will meet this requirement?

A. XGBoost
B. Image Classification - TensorFlow
C. Object Detection - TensorFlow
D. Semantic segmentation - MXNet

Show Suggested Answer

Suggested Answer: B 🗳️

by kukreti18 at July 6, 2023, 5:35 p.m.

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vkbajoria

10 months, 3 weeks ago

Selected Answer: B

Image classification - Tensorflow

upvoted 1 times

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endeesa

1 year, 2 months ago

Selected Answer: B

We just want to identify the item in the image, so object detection and semantic segmentation out. Left with A and B , but Xgboost is not ideal for images so B

upvoted 1 times

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Mickey321

1 year, 6 months ago

Selected Answer: B

Image Classification - TensorFlow is a built-in algorithm in Amazon SageMaker that can be used to train a model to identify images of lions and cheetahs. The algorithm uses a convolutional neural network (CNN) to extract features from the images and then classifies the images based on the features

upvoted 3 times

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